SOTAVerified

Cancer Classification

Papers

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Showing 1–50 of 208 papers

TitleStatusHype
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics dataCode1
Model Patching: Closing the Subgroup Performance Gap with Data AugmentationCode1
Joint Modelling Histology and Molecular Markers for Cancer ClassificationCode1
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Virchow: A Million-Slide Digital Pathology Foundation ModelCode1
Triad: Vision Foundation Model for 3D Magnetic Resonance ImagingCode1
Soft-Attention Improves Skin Cancer Classification PerformanceCode1
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External ValidationCode1
Multi-View Hypercomplex Learning for Breast Cancer ScreeningCode1
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer ClassificationCode1
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype ClassificationCode1
MV-Swin-T: Mammogram Classification with Multi-view Swin TransformerCode1
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive LearningCode1
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and DetectionCode1
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked AutoencoderCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
A CNN toolbox for skin cancer classification—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma—0
Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information—0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
Attention Model Enhanced Network for Classification of Breast Cancer Image—0
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification—0
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images—0
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data—0
An evaluation of DNA-damage response and cell-cycle pathways for breast cancer classification—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network—0
Biomarker Gene Identification for Breast Cancer Classification—0
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification—0
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning—0
Breast Cancer classification by adaptive weighted average ensemble of previously trained models—0
An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks—0
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework—0
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features—0
Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability—0
Breast Cancer Classification Using: Pixel Interpolation—0
Breast Cancer Classification with Ultrasound Images Based on SLIC—0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier—0
Comparative Analysis of Deep Learning Architectures for Breast Cancer Diagnosis Using the BreaKHis Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LASSO-MOGAT1:1 Accuracy95.9—Unverified
2LASSO-MOGAT1:1 Accuracy94.68—Unverified